Update README.md

README.md

@@ -18,8 +18,8 @@ This RoBERTa-based model can classify the sentiment of English language text in
 - neutral 😐
 - negative 🙁
 
-The model was fine-tuned on 5,304 manually annotated social media posts. The hold-out accuracy is 86.1%. 
-
+The model was fine-tuned on 5,304 manually annotated social media posts. 
+The hold-out accuracy is 86.1%. 
 For details on the training approach see Web Appendix F in Hartmann et al. (2021). 
 
 # Reference